code: def test_step_shape(self):
      kwargs = dict(self.forward_default_kwargs)
      num_inference_steps = kwargs.pop("num_inference_steps", None)
  
      for scheduler_class in self.scheduler_classes:
          scheduler_config = self.get_scheduler_config()
          scheduler = scheduler_class(**scheduler_config)
  
          sample = self.dummy_sample
          residual = 0.1 * sample
  
          scheduler.set_timesteps(num_inference_steps)
  
          timestep_0 = scheduler.timesteps[-2]
          timestep_1 = scheduler.timesteps[-1]
  
          output_0 = scheduler.step(
              residual, timestep_0, sample, **kwargs
          ).prev_sample
          output_1 = scheduler.step(
              residual, timestep_1, sample, **kwargs
          ).prev_sample
  
          self.assertEqual(output_0.shape, sample.shape)
          self.assertEqual(output_0.shape, output_1.shape)
  
imports: import tempfile
  from typing import Dict, List, Tuple
  import torch
  from diffusers import LCMScheduler
  from diffusers.utils.testing_utils import torch_device
  from .test_schedulers import SchedulerCommonTest
label_desc: Use image node_id 13 for calling the LCMSchedulerTest obj's underlying member method code with example usage: obj.test_step_shape() without return types